Variational Message Passing

Variational Message Passing is a variational inference algorithm that operates within the family of expectation propagation methods, distinguished by its use of local message-passing rules on factor graphs to iteratively update approximate posterior distributions in conjugate exponential-family models.

44

Publications

2.3K

Citations

102

Authors

47

Institutions

Publications per year

2017–2026

23

Authors

102

  1. MP
    M. P. Wand

    UNSW Sydney, Australia

    4 publications · 151 citations

    4

    h-index

  2. BH
    Bernard H. Fleury

    Aalborg University, Denmark

    4 publications · 176 citations

    4

    h-index

  3. NW
    Nan Wu

    Beijing Institute of Technology, China

    4 publications · 188 citations

    4

    h-index

  4. CN
    Carles Navarro Manchón

    Aalborg University, Denmark

    4 publications · 149 citations

    4

    h-index

  5. WY
    Weijie Yuan

    Southern University of Science and Technology, China

    3 publications · 172 citations

    3

    h-index

1–5 of 102

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 188 citations

    5

    h-index

  2. Bayesian Analysis

    3 publications · 58 citations

    3

    h-index

  3. IEEE Transactions on Signal Processing

    2 publications · 75 citations

    2

    h-index

  4. Entropy

    2 publications · 40 citations

    2

    h-index

  5. IEEE Transactions on Communications

    2 publications · 39 citations

    2

    h-index

1–5